Principal Machine Learning Engineer
Haystack · United States
- On site
- Full-time
- United States
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About the role
We're working with a leading technology firm at the forefront of artificial intelligence innovation, developing cutting-edge machine learning solutions that redefine industry standards. This company prides itself on pushing the boundaries of AI, creating impactful products that influence a wide range of applications and industries.
The Role
The Role
- Design and evolve critical large-scale ML systems across training, inference, evaluation, and infrastructure
- Set technical standards and shape ML system development across the organization
- Architect and build large-scale ML systems spanning data, training, evaluation, inference, and deployment
- Design reproducible, high-performance training pipelines on GPU infrastructure
- Implement evaluation pipelines for performance, robustness, safety, and bias
- Own production deployment and collaborate with application engineering for ML system integration
- Strong background in deep learning and transformer-based architectures
- Artificial Intelligence (AI) experience is required
- Hands-on experience training, fine-tuning, or deploying large-scale ML models in production
- Proficiency with at least one modern ML framework (e.g., PyTorch, JAX)
- Experience with distributed training and inference frameworks
- Strong software engineering fundamentals and experience with GPU optimization
- Comprehensive medical, dental, and vision insurance
- Savings plan options
- Generous paid time off (PTO)
- Opportunity to work 100% remotely